Texture defects and visual inspection

Dmitry Chetverikov

doi:10.1117/12.938512

6 April 1987 Texture defects and visual inspection

Dmitry Chetverikov

Proceedings Volume 0657, Applications of Artificial Intelligence IV; (1987) https://doi.org/10.1117/12.938512
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

Abstract

Image segmentation by texture is a classical problem of digital image analysis. Recently, the author has formulated a new segmentation problem which is based on the notion of texture defect, or imperfection. Imperfections are small non-textured regions that locally break the homogeneity of the texture pattern. Detection of imperfections is a novel, specific task differing from the classical texture segmentation. Imperfection analysis provides a necessary basis for designing particular application techniques aimed at de-fect detection in various fields of visual inspection of surfaces, such as indication of defects in wood or textiles. In this paper, the main principles of imperfection analysis are briefly outlined and a few dedicated inspection algorithms mentioned. A new procedure is suggested for the adaptive detection of texture imperfections in the presence of a slow spatial variation of the texture pattern. Key words : texture segmentation, surface inspection, texture imperfections.

Citation Download Citation

Dmitry Chetverikov "Texture defects and visual inspection", Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); https://doi.org/10.1117/12.938512

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